Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities
- Authors
- Shanthakumari, R.; Nam, Yun-Cheol; Nam, Yunyoung; Abouhawwash, Mohamed
- Issue Date
- Jan-2023
- Publisher
- AutoSoft Press
- Keywords
- Smart cities; data offloading; energy consumption; bi-objective; capacitated vehicle routing problem; public transportation; big data
- Citation
- Intelligent Automation and Soft Computing, v.36, no.2, pp 1991 - 2005
- Pages
- 15
- Journal Title
- Intelligent Automation and Soft Computing
- Volume
- 36
- Number
- 2
- Start Page
- 1991
- End Page
- 2005
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/22150
- DOI
- 10.32604/iasc.2023.033696
- ISSN
- 1079-8587
2326-005X
- Abstract
- Smart cities make use of a variety of smart technology to improve societies in better ways. Such intelligent technologies, on the other hand, pose significant concerns in terms of power usage and emission of carbons. The suggested study is focused on technological networks for big data-driven systems. With the support of software-defined technologies, a transportation-aided multicast routing system is suggested. By using public transportation as another communication platform in a smart city, network communication is enhanced. The primary objective is to use as little energy as possible while delivering as much data as possible. The Attribute Decision Making with Capacitated Vehicle (CV) Routing Problem (RP) and Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used in the proposed research. For the optimum network selection, a Multi-Attribute Decision Making (MADM) method is utilized. For the sake of reducing energy usage, the Capacitated Vehicle Routing Problem (CVRP) is employed. To reduce the transportation cost and risk, Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used. Moreover, a mixed-integer programming approach is used to deal with the problem. To produce Pareto optimal solutions, an intelligent algorithm based on the epsilon constraint approach and genetic algorithm is created. A scenario of Auckland Transport is being used to validate the concept of offloading the information onto the buses for energy-efficient and delay-tolerant data transfer. Therefore the experiments have demonstrated that the buses may be used effectively to carry out the data by customer requests while using 30% of less energy than the other systems.
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Collections - College of Engineering > Department of Computer Science and Engineering > 1. Journal Articles
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